Linear controller design by goal programming
Tóm tắt
A computational optimization-based approach for designing fixed-order controllers is presented. The approach focuses classical pole placement design techniques for both certain and uncertain (interval) linear time-invariant plants within a goal programming framework. The design objective is the minimization of the overall deviation from the desired performance for the closed-loop system, as specified by a polytope of characteristic polynomials in the general case. Goal programming, a traditional technique in many different engineering design contexts, reveals to be an adequate basis for integrating a number of existing results in linear controller design by pole placement. Examples illustrate the main characteristics of the proposed approach.
Từ khóa
#Linear programming #State feedback #Polynomials #Robust control #Design engineering #Uncertainty #Design optimization #Control systems #Uncertain systems #Adaptive controlTài liệu tham khảo
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